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Enabling CAST AI optimization in stages v1.0.0

Use this resource to roll out CAST AI optimization in a controlled, reversible way

New

  • 500 downloads
  • 153 likes
  • 115 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install castai-controlled-optimization-rollout

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent turns recommendations into automation one control at a time: node capacity, vertical rightsizing and replica count. It sets guardrails, previews each change and tests on a canary workload.

Mostly picked by

Updated November 2, 2026

Card for the “Enabling CAST AI optimization in stages” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: six steps, from the control matrix to expansion or rollback
  • references/official-docs.md: official CAST AI documentation

Good fit for

  • CAST AI observation is complete and you are ready to act
  • You test node autoscaling on a low-risk workload

Not for

    Tags

    • cast ai
    • autoscaling
    • kubernetes
    • canary
    • guardrails

    About

    You say

    “Enable CAST AI optimization on my test workload only, with a rollback plan.”

    Card for the “Enabling CAST AI optimization in stages” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to roll out CAST AI optimization in a controlled, reversible way
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/official-docs.md0.9 KB
    • SKILL.md4.8 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/castai-core-workflow-b
    Licence
    MIT

    Notice

    « castai-core-workflow-b » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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